Convergence Of An Iterative Method For Total Variation Denoising
. In total variation denoising, one attempts to remove noise from a signal or image by solving a nonlinear minimization problem involving a total variation criterion.
David C. Dobson +3 more
core
A cyclic iterative method for solving multiple sets split feasibility problems in Banach spaces
In this paper, we construct an iterative scheme and prove strong convergence theorem of the sequence generated to an approximate solution to a multiple sets split feasibility problem in a p-uniformly convex and uniformly smooth real Banach space.
Shehu, Y, Iyiola, O.S.
core
Stochastic analysis of overlapping generations models under incomplete markets. [PDF]
Chen C +4 more
europepmc +1 more source
On Learned Operator Correction in Inverse Problems. [PDF]
Lunz S +4 more
europepmc +1 more source
A sparse optimization approach to infinite infimal convolution regularization. [PDF]
Bredies K +4 more
europepmc +1 more source
Shape-Programming in Hyperelasticity Through Differential Growth. [PDF]
Ortigosa-Martínez R +4 more
europepmc +1 more source
Extragradient subgradient methods for solving bilevel equilibrium problems. [PDF]
Yuying T, Dinh BV, Kim DS, Plubtieng S.
europepmc +1 more source
Implicit Low-Rank Riemannian Schemes for the Time Integration of Stiff Partial Differential Equations. [PDF]
Sutti M, Vandereycken B.
europepmc +1 more source
An Efficient Algorithm For A Bounded Errors-In-Variables Model
. We pose and solve a parameter estimation problem in the presence of bounded data uncertainties. The problem involves a minimization step and admits a closed form solution in terms of the positive root of a secular equation. Key words.
G. H. Golub +3 more
core
Second Order Splitting Dynamics with Vanishing Damping for Additively Structured Monotone Inclusions. [PDF]
Boţ RI, Hulett DA.
europepmc +1 more source

